46 citations · 141 across the 13 of their papers we have counts for
13 papers
Tapping into Permutation Symmetry for Improved Detection of k-Symmetric Extensions
Youning Li, Chao Zhang, Shi-Yao Hou +3
Symmetric extensions are essential in quantum mechanics, providing a lens to investigate the correlations of entangled quantum systems and to address challenges like the quantum ma…
Pure Quantum Gradient Descent Algorithm and Full Quantum Variational Eigensolver
Ronghang Chen, Shi-Yao Hou, Cong Guo +1
Optimization problems are prevalent in various fields, and the gradient-based gradient descent algorithm is a widely adopted optimization method. However, in classical computing, c…
Maximum entropy methods for quantum state compatibility problems
Shi-Yao Hou, Zipeng Wu, Jinfeng Zeng +4
Inferring a quantum system from incomplete information is a common problem in many aspects of quantum information science and applications, where the principle of maximum entropy (…
Quantum imaginary time evolution steered by reinforcement learning
Chenfeng Cao, Zheng An, Shi-Yao Hou +2
The quantum imaginary time evolution is a powerful algorithm for preparing the ground and thermal states on near-term quantum devices. However, algorithmic errors induced by Trotte…
SpinQ Gemini: a desktop quantum computer for education and research
Shi-Yao Hou, Guanru Feng, Zipeng Wu +13
SpinQ Gemini is a commercial desktop quantum computer designed and manufactured by SpinQ Technology. It is an integrated hardware-software system. The first generation product with…
Simulating noisy variational quantum eigensolver with local noise models
Jinfeng Zeng, Zipeng Wu, Chenfeng Cao +4
Variational quantum eigensolver (VQE) is promising to show quantum advantage on near-term noisy-intermediate-scale quantum (NISQ) computers. One central problem of VQE is the effec…
Supervised learning in Hamiltonian reconstruction from local measurements on eigenstates
Chenfeng Cao, Shi-Yao Hou, Ningping Cao +1
Reconstructing a system Hamiltonian through measurements on its eigenstates is an important inverse problem in quantum physics. Recently, it was shown that generic many-body local…
Neural Networks for Quantum Inverse Problems
Ningping Cao, Jie Xie, Aonan Zhang +3
Quantum Inverse Problem (QIP) is the problem of estimating an unknown quantum system from a set of measurements, whereas the classical counterpart is the Inverse Problem of est…
Simulating Noisy Quantum Circuits with Matrix Product Density Operators
Song Cheng, Chenfeng Cao, Chao Zhang +4
Simulating quantum circuits with classical computers requires resources growing exponentially in terms of system size. Real quantum computer with noise, however, may be simulated p…
Upper bounds for relative entropy of entanglement based on active learning
Shi-Yao Hou, Chenfeng Cao, D. L. Zhou +1
Quantifying entanglement for multipartite quantum state is a crucial task in many aspects of quantum information theory. Among all the entanglement measures, relative entropy of en…
Determining system Hamiltonian from eigenstate measurements without correlation functions
Shi-Yao Hou, Ningping Cao, Sirui Lu +3
Local Hamiltonians arise naturally in physical systems. Despite its seemingly `simple' local structure, exotic features such as nonlocal correlations and topological orders exhibit…
Preparation of Logically Labeled Pure States with Only Two Turns for Bulk Quantum Computation
Tao Xin, Liang Hao, Shi-Yao Hou +2
Quantum state preparation plays an equally important role with quantum operations and measurements in quantum information processing. The previous methods of preparing initial stat…
Experimental Quantum Hamiltonian Identification from Measurement Time Traces
Shi-yao Hou, Hang Li, Gui-Lu Long
Identifying Hamiltonian of a quantum system is of vital importance for quantum information processing. In this Letter, we realized and benchmarked a quantum Hamiltonian identificat…